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Tier-1 brand, mid-level (2–5 years), popular product role, metro location, and broad skillset increase competition.
Analytics product, SQL and BI skills are transferable, though payments domain experience increases hiring preference.
Explicit 2–5 years plus mandatory SQL, BI, product and data governance skills create stringent screening criteria.
Oversee product operations including go-to-market planning, user onboarding, platform maintenance, and continuous improvement of data quality and insights delivery.
Drive data governance initiatives by defining data quality standards, validation frameworks, and monitoring to ensure accuracy and reliability of product insights.
Utilize SQL and Python to perform data analysis, automate reporting and operational workflows, and manage feedback processes using AI-driven intelligent workflows.
2–5 years related work experience, preferably in Financial Services, Payments, or Data Analytics domains.
Bachelor’s degree in business, data science, information technology, or equivalent work experience.
Strong hands-on SQL skills including joins, aggregations, and data validation queries.
Experience with BI tools (Power BI/Tableau), product management tools (Jira, Confluence), and some knowledge of Python for data manipulation and automation.
Experience in agile product management for analytical products or business intelligence solutions with track record in production operations such as client onboarding and feedback management.
Ability to integrate AI-based workflows into product development and feedback cycles to automate processes and enhance data quality.
Capable of collaborating effectively across product, engineering, data, sales, and regional teams to drive product adoption, data integrity, and continuous improvement.